Education Analytics is a non-profit organization that uses data analysis to inform education policy decisions. We work with school districts, regional offices of education, non-profits, and policymakers to identify ways to make education systems better.

We are seeking a full-time Data Engineer to lead the design, build, and maintenance of automated data pipelines and analytic systems. An ideal candidate has strong Python skills, familiarity with SQL and data warehousing concepts, experience with complex data integration and/or analysis, and an interest in improving K-12 education.

This role supports the timely delivery of data and analytics to educators and administrators who use this data to drive change and improvement in education. We are looking for candidates who are innovative, hard-working, and curious to help us continue to develop our team's capacity in the development and use of cutting-edge data engineering tools. Our team is growing rapidly, and we have an opportunity to bring the technology of big data engineering to education systems that are in need of support. This position will work on exciting challenges and be involved in building many systems from the ground up. 

RESPONSIBILITIES

• Design and implement complex ETL pipelines to integrate data coming from a mix of flat files, APIs, or other database sources
• Contribute to the design and implementation of data warehousing structures for research, analytics, and reporting/dashboarding
• Help implement code testing, continuous integration, and deployment strategies to ensure system reliability
• Develop and improve internal tools and systems to efficiently deliver high-quality, actionable metrics
• Work collaboratively within a team of analysts, school system leaders, and other engineers to create analytics solutions that are scaleable, easy to maintain, and support high quality research
• Explore and apply new cutting-edge tools to drive innovation across a variety of projects

QUALIFICATIONS

• Experience designing, implementing, and maintaining modern ETL pipelines with a clean code-base
• Experience architecting data warehouse and data lake structures that are intuitive and performant
• Fluency in Python and SQL, experience with Linux.
• Knowledge of software engineering best practices, particularly in team-based development using Git
• Ability to be proactive in identifying and defending against potential data quality & processing issues

BONUS SKILLS:

• Familiarity with AWS tooling and best practices
• Fluency in R
• Experience with Apache Airflow, or other modern data pipeline systems
• Experience with Postgres, SQL Server, Docker, Jenkins
• Desire to work with cutting edge tools in a fast-paced environment

The weekly hour expectation is 45 hours per week at EA's office in Madison, WI. Additional nights and weekends are sometimes required.

BENEFITS:

• Competitive salary
• Annual merit bonuses
• Paid holidays and one month of paid vacation per year
• Generous 401k and health benefits
• Free Madison Metro transit pass or subsidized office parking
• Casual office environment
• Location right in the heart of downtown Madison, WI

Education Analytics is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.